sportsdataverse/sportsdataverse-py
Grade a repo

94

/ 100

GradeA

Exemplary work. Strong across documentation, project hygiene, and engineering.

Top 7% of 5,156 graded repos

sportsdataverse python package

Documentation100
Engineering88
Health100
Python122MIT19d ago

Top fixes

Highest-impact changes first, ranked by point weight

5 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    CI/CD14pt

    Add a lint step to catch style issues automatically.

  3. 3
    CI/CD14pt

    Add `tsc --noEmit`, `mypy`, or `cargo check` to catch type errors before they merge.

  4. 4
    CI/CD14pt

    Upload coverage to Codecov, Coveralls, or report it with `--coverage` flags.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

100

README12pt100

README is present.

Install and run instructions9pt100

README documents how to install the project.

License6pt100

Licensed under MIT.

Contributing guide5pt100

Contributing guide is detailed and thorough.

Engineering

88

Reproducibility6pt80

Lockfile present (uv.lock). Installs are reproducible.

Tests18pt85

Test files detected (pytest.ini).

CI/CD14pt85

CI is configured (.github/workflows/tests.yml).

Linting and formatting5pt100

Linter or formatter configured (.flake8).

Issue and PR templates6pt100

Issue or PR templates present.

Project health

100

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • 221 / 560
    Commits (30d / 90d)
  • 19
    Forks
  • 32
    Releaseslatest 4mo ago

Community

  • 62% - Fair
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 122
    Watchers

Responsiveness

  • 329d 6h
    Median issue response
  • 1h
    Median PR merge time
  • 13
    Open issues
Repository files37 root entries
  • .claude
  • .github
    Good: CI is configured (.github/workflows/tests.yml).
    Good: Issue or PR templates present.
  • .superpowers
  • .vscode
  • changelog.d
  • dev
  • docs
  • examples
  • recipe
  • results
  • sdv_docs
  • sportsdataverse
  • tests
  • tools
  • .coderabbit.yaml
  • .env.example
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitattributes
  • .gitignore
    Good: .gitignore present.
  • .markdownlint-cli2.yaml
  • .pre-commit-config.yaml
  • .python-version
    Good: Environment pinned via .python-version.
  • .yamlfmt
  • CHANGELOG.md
  • CLAUDE.md
  • context7.json
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Good: Contributing guide describes code style expectations.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • LICENSE
    Good: Licensed under MIT.
  • MANIFEST.in
  • model_ledger.json
  • NOTICE
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest.ini
    Good: Test files detected (pytest.ini).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Good: README has code examples.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • sdv-py-logo.png
  • Sportsdataverse_gh.png
  • uv.lock
    Good: Lockfile present (uv.lock). Installs are reproducible.
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